Implementation of an Intelligent Controller for Biped Walking Robot using Genetic Algorithm

This paper proposes a method that minimizes the consumed energy by searching the optimal locations of the mass centers of the biped robot's links using genetic algorithm. This paper presents a learning controller for repetitive gait control of the biped walking robot. The learning control scheme consists of a feedforward learning rule and linear feedback control input for stabilization of learning system. The feasibility of learning control to the biped robot's motion is shown via computer simulation and experimental results with 24 DOF biped walking robot

[1]  Rodney A. Brooks,et al.  A Robust Layered Control Syste For A Mobile Robot , 2022 .

[2]  Lalit M. Patnaik,et al.  Genetic algorithms: a survey , 1994, Computer.

[3]  Y. Nubar,et al.  A minimal principle in biomechanics , 1961 .

[4]  Sam Kwong,et al.  Genetic algorithms and their applications , 1996, IEEE Signal Process. Mag..

[5]  Roy D. Crowninshield,et al.  Use of Optimization Techniques to Predict Muscle Forces , 1978 .

[6]  A Seireg,et al.  The prediction of muscular lad sharing and joint forces in the lower extremities during walking. , 1975, Journal of biomechanics.

[7]  F.E. Zajac,et al.  Restoring unassisted natural gait to paraplegics via functional neuromuscular stimulation: a computer simulation study , 1990, IEEE Transactions on Biomedical Engineering.

[8]  Jung-Shik Kong,et al.  Backlash compensation for a humanoid robot using disturbance observer , 2004, 30th Annual Conference of IEEE Industrial Electronics Society, 2004. IECON 2004.

[9]  A Pedotti,et al.  A general computing method for the analysis of human locomotion. , 1975, Journal of biomechanics.

[10]  Makoto Shimojo,et al.  Dynamic sensing experiments of reaction force distributions on the sole of a walking humanoid robot , 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).

[11]  James S. Albus,et al.  Outline for a theory of intelligence , 1991, IEEE Trans. Syst. Man Cybern..

[12]  Mitsuo Gen,et al.  Genetic algorithms and engineering optimization , 1999 .

[13]  Leonard Barolli,et al.  Optimal trajectory generation for a prismatic joint biped robot using genetic algorithms , 2002, Robotics Auton. Syst..